Adaptive dynamic programming for control: A survey and recent advances
This article reviews the recent development of adaptive dynamic programming (ADP) with
applications in control. First, its applications in optimal regulation are introduced, and some …
applications in control. First, its applications in optimal regulation are introduced, and some …
A review on neural networks with random weights
In big data fields, with increasing computing capability, artificial neural networks have shown
great strength in solving data classification and regression problems. The traditional training …
great strength in solving data classification and regression problems. The traditional training …
Event-Triggered Control for Continuous-Time Nonlinear System via Concurrent Learning
In this paper, the H∞ optimal control problem for a class of continuous-time nonlinear
systems is investigated using event-triggered method. First, the H∞ optimal control problem …
systems is investigated using event-triggered method. First, the H∞ optimal control problem …
Experience replay for optimal control of nonzero-sum game systems with unknown dynamics
In this paper, an approximate online equilibrium solution is developed for an-player nonzero-
sum (NZS) game systems with completely unknown dynamics. First, a model identifier based …
sum (NZS) game systems with completely unknown dynamics. First, a model identifier based …
Source selection and resource allocation in wireless powered relay networks: an adaptive dynamic programming based approach
This paper considers a two-hop wireless powered relay network consisting of multiple
sources, multiple destinations, and one relay. The relay can receive energy from the sources …
sources, multiple destinations, and one relay. The relay can receive energy from the sources …
Adaptive learning and sampled-control for nonlinear game systems using dynamic event-triggering strategy
Static event-triggering-based control problems have been investigated when implementing
adaptive dynamic programming algorithms. The related triggering rules are only current …
adaptive dynamic programming algorithms. The related triggering rules are only current …
Data-based reinforcement learning for nonzero-sum games with unknown drift dynamics
This paper is concerned about the nonlinear optimization problem of nonzero-sum (NZS)
games with unknown drift dynamics. The data-based integral reinforcement learning (IRL) …
games with unknown drift dynamics. The data-based integral reinforcement learning (IRL) …
Decentralized event-triggered adaptive control of discrete-time nonzero-sum games over wireless sensor-actuator networks with input constraints
H Su, H Zhang, H Jiang, Y Wen - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
This article studies an event-triggered communication and adaptive dynamic programming
(ADP) co-design control method for the multiplayer nonzero-sum (NZS) games of a class of …
(ADP) co-design control method for the multiplayer nonzero-sum (NZS) games of a class of …
Spacecraft proximity maneuvering and rendezvous with collision avoidance based on reinforcement learning
The rapid development of the aerospace industry puts forward the urgent need for the
evolution of autonomous spacecraft rendezvous technology, which has gained significant …
evolution of autonomous spacecraft rendezvous technology, which has gained significant …
Adaptive critic design for nonlinear multi-player zero-sum games with unknown dynamics and control constraints
Y Huo, D Wang, J Qiao, M Li - Nonlinear Dynamics, 2023 - Springer
In this paper, a novel optimal control scheme is established to solve the multi-player zero-
sum game (ZSG) issue of continuous-time nonlinear systems with control constraints and …
sum game (ZSG) issue of continuous-time nonlinear systems with control constraints and …